Name
Title | ||
|---|---|---|
Robust Normalized Softmax Loss for Deep Metric Learning-Based Characterization of Remote Sensing Images With Label Noise |
Abstract | ||
|---|---|---|
Most deep metric learning-based image characterization methods exploit supervised information to model the semantic relations among the remote sensing (RS) scenes. Nonetheless, the unprecedented availability of large-scale RS data makes the annotation of such images very challenging, requiring automated supportive processes. Whether the annotation is assisted by aggregation or crowd-sourcing, the ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TGRS.2020.3042607 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Measurement,Semantics,Annotations,Feature extraction,Prototypes,Noise measurement,Visualization | Journal | 59 |
Issue | ISSN | Citations |
10 | 0196-2892 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian Kang | 1 | 4 | 2.34 |
| Rubén Fernández-Beltran | 2 | 51 | 10.18 |
| Puhong Duan | 3 | 19 | 3.37 |
| Xudong Kang | 4 | 60 | 7.92 |
| Antonio Plaza | 5 | 83 | 17.35 |